Community for Data Integration (CDI)
Home
Connect and collaborate
The Community for Data Integration (CDI) is a dynamic community of practice working together to grow USGS knowledge and capacity in scientific data and information management and integration.
Collaboration Areas
Join a group of peers to explore common interests and solve shared challenges.
Browse AreasProjects and Products
The CDI supports innovative ideas across the community with seed funding for projects.
View ProjectsParticipate
Participate in monthly forums, topical discussions, trainings, or the annual proposals process.
Join us!News
Twenty Community for Data Integration Proposals Advance to Phase 2
Thank you to all community members who submitted, commented on, or voted for the Statements of Interest!
FY19 CDI Request for Proposals
Join us this fall for a unique community-driven process for building USGS capabilities in data integration and management.
CDI FY18 Funded Projects Announced
The FY18 CDI Funded Projects are posted on the 2018 Projects page. Congratulations to the project teams!
Publications
Community for Data Integration fiscal year 2017 funded project report
The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 11 projects funded in fiscal year 2017, outlining their goals, activities, and outputs.
Hsu, Leslie; Allstadt, Kate E.; Bell, Tara M.; Boydston, Erin E.; Erickson, Richard A.; Everette, A. Lance; Lentz, Erika E.; Peters, Jeff; Reichert, Brian E.; Nagorsen, Sarah; Sherba, Jason T.; Signell, Richard P.; Wiltermuth, Mark T.; Young, John A.
Wrangling distributed computing for high-throughput environmental science: An introduction to HTCondor
Biologists and environmental scientists now routinely solve computational problems that were unimaginable a generation ago. Examples include processing geospatial data, analyzing -omics data, and running large-scale simulations. Conventional desktop computing cannot handle these tasks when they are large, and high-performance computing is not...
Erickson, Richard A.; Fienen, Michael N.; McCalla, S. Grace; Weiser, Emily L.; Bower, Melvin L.; Knudson, Jonathan M.; Thain, Greg
Community for Data Integration 2017 annual report
The Community for Data Integration (CDI) is a group that helps members grow their expertise on all aspects of working with scientific data. The CDI’s activities advance data and information integration capabilities in the U.S. Geological Survey and in the wider Earth and biological sciences. This annual report describes the presentations,...
Hsu, Leslie; Langseth, Madison L.